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Bold Metrics unveils Apparel Insights designing product
29 Mar '18
2 min read
Courtesy: Bold Metrics
Bold Metrics Inc. (BMI), a global leader in algorithmic body measurement prediction technology, has announced the launch of Apparel Insights (BMI AI). The new product allows apparel brands to leverage Bold Metrics’ proprietary artificial intelligence technology to take a more data-driven approach when designing clothes and ready-to-wear sizing.
There is a foundational shift taking place when it comes to how clothes are being made and how size is communicated and understood by consumers. The problem is, as online shopping has moved from stores to ecommerce, customers are changing brands, styles, and fits faster than ever before, leaving brands disconnected from their actual customers.
Trusted by some of the largest apparel brands in the world, Bold Metrics has quickly become a core part of ongoing fit initiatives led by brands that are trying to keep up with changes in consumers’ buying habits and body shapes.
Fit issues continue to be a major problem that apparel brands face today and the primary reason for online returns, which are 30 per cent on average but can exceed 50 per cent for harder-to-fit garments like denim. While fit recommendation solutions have helped consumers find the best size, brands are still flying blind when it comes to who is buying their clothes and how they can improve their fit using a more data-driven, consumer-centric approach.
Daina Burnes, the co-founder and CEO of Bold Metrics said, “The way clothes are made today involves a lot of assumptions and relies on insights gathered from fit models, which in most cases is an anecdotal approach to assess apparel sizing and fit. We see the opportunity to fundamentally change the way clothes are made by using real customer data rather than assumptions and fit models. Apparel brands can now algorithmically obtain detailed body measurements of their shoppers and leverage this data upstream to curate AI-driven product decisions around sizing and fit.”
Morgan Linton, co-founder and COO of Bold Metrics said, “We’ve developed a highly-scalable approach to enable brands to gain access to the body measurements of their shoppers, algorithmically, which means they can stop guessing who is buying their clothes and start making clothes for their actual customer.” (GK)
There is a foundational shift taking place when it comes to how clothes are being made and how size is communicated and understood by consumers. The problem is, as online shopping has moved from stores to ecommerce, customers are changing brands, styles, and fits faster than ever before, leaving brands disconnected from their actual customers.
Trusted by some of the largest apparel brands in the world, Bold Metrics has quickly become a core part of ongoing fit initiatives led by brands that are trying to keep up with changes in consumers’ buying habits and body shapes.
Fit issues continue to be a major problem that apparel brands face today and the primary reason for online returns, which are 30 per cent on average but can exceed 50 per cent for harder-to-fit garments like denim. While fit recommendation solutions have helped consumers find the best size, brands are still flying blind when it comes to who is buying their clothes and how they can improve their fit using a more data-driven, consumer-centric approach.
Daina Burnes, the co-founder and CEO of Bold Metrics said, “The way clothes are made today involves a lot of assumptions and relies on insights gathered from fit models, which in most cases is an anecdotal approach to assess apparel sizing and fit. We see the opportunity to fundamentally change the way clothes are made by using real customer data rather than assumptions and fit models. Apparel brands can now algorithmically obtain detailed body measurements of their shoppers and leverage this data upstream to curate AI-driven product decisions around sizing and fit.”
Morgan Linton, co-founder and COO of Bold Metrics said, “We’ve developed a highly-scalable approach to enable brands to gain access to the body measurements of their shoppers, algorithmically, which means they can stop guessing who is buying their clothes and start making clothes for their actual customer.” (GK)
Fibre2Fashion News Desk – India
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